@hoff97/tensor-js
Version:
PyTorch like deep learning inferrence library
27 lines (26 loc) • 947 B
TypeScript
import { DType, Tensor } from '../../../library';
import { BackwardOp, VariableI } from '../../types';
export declare class CosBack<DTpe extends DType> implements BackwardOp<DTpe> {
input: VariableI<DTpe>;
constructor(input: VariableI<DTpe>);
backward(grad: Tensor<DTpe>): void;
delete(): void;
}
export declare class ACosBack<DTpe extends DType> implements BackwardOp<DTpe> {
input: VariableI<DTpe>;
constructor(input: VariableI<DTpe>);
backward(grad: Tensor<DTpe>): void;
delete(): void;
}
export declare class CosHBack<DTpe extends DType> implements BackwardOp<DTpe> {
input: VariableI<DTpe>;
constructor(input: VariableI<DTpe>);
backward(grad: Tensor<DTpe>): void;
delete(): void;
}
export declare class ACosHBack<DTpe extends DType> implements BackwardOp<DTpe> {
input: VariableI<DTpe>;
constructor(input: VariableI<DTpe>);
backward(grad: Tensor<DTpe>): void;
delete(): void;
}